JP2002117292A - Method and system for promoting sales - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve the possibility of being connected to the purchase of merchandise and to realize a general recommendation service. SOLUTION: When a user accesses the server of a music software distribution shop A through a network connection service by a portable telephone set 2 and purchases a music software, e.g. the server of the shop A transmits the purchase information to a center 1, which retrieves concert information by the singer from a recommend rule 1a to transmit the recommendation to the portable telephone set through the network connection service. When the user purchases a concert ticket from the server B of a ticket sales shop B by the portable telephone set, the server of the shop B transmits the purchase information to the center, which retrieves the reservation situation of airplanes, etc., on the holding date of the concert of this purchase information from the recommend rule to transmit the recommendation to the portable telephone set.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

[0001] The present invention relates to a method and system for promoting sales of goods and / or services.

[0002]

2. Description of the Related Art As a conventional sales promotion method, for example, a method using direct mail (DM) is known.
In the DM method, as shown in FIG. 15, an extraction rule for a product seller to select a purchaser of “product 10 to be sold (from now on)” (search conditions: age, gender, family composition, annual income, etc.) Is determined (step S1), and a customer database 11 such as a customer profile (age, gender, family composition, annual income, etc.) 11a registered in advance and a purchase history 11b of products of the same industry and different industries until now.
Then, a customer candidate is searched and extracted based on the extraction rule (step S2), and a DM (or e-mail) is sent to the extracted customer candidate (step S3).

[0003]

However, in the above-described DM method, first, there is a "product (or service) 10 to be sold (from now on)", and then this product 10
Is not always timely information for the customer, and does not necessarily lead to sales (low hit rate). In particular, in the case of a mobile phone, there are cases where the customer bears the communication fee for e-mail, and if the DM does not meet the customer's needs, the customer may rather feel uncomfortable.

The present invention has been made in view of the above-mentioned problems of the prior art, and can improve the possibility of purchasing a product.
It is an object of the present invention to provide a sales promotion method and system capable of realizing comprehensive recommendation services for different types of products and services and virtual shops and real shops having different business forms. In this specification, the term “product” is not limited to a tangible product, but includes various intangible services.

[0005]

In order to achieve the above object, a sales promotion method according to the present invention achieves the above object by providing data for specifying a plurality of products, data for specifying a plurality of customers, and pre-processing for each of the plurality of customers. A created attribute, wherein when a certain customer among the customers accesses a certain product among the plurality of products, the same customer is likely to access the next product and specifies the plurality of products. A database including the customer attributes for automatically selecting from the data is prepared in advance, and when a customer among the plurality of customers accesses a first product among the plurality of products, the database Determining a second product that is likely to be accessed by the customer next in a chain, and recommending a recommendation of the second product to a network connection server. Transmitting to the user terminal of the customer via the client, and when the customer accesses the second product, determining the second product as the first product using the second product. And repeating this step (claim 1).

[0006] According to the above configuration, the recommendation of the next product is sequentially transmitted to the user terminal of the same customer via the network connection service, based on the rule that the same customer purchases a plurality of products in a chain. As a result, it is possible to improve the possibility of purchasing a product,
Comprehensive recommendation service can be realized.

Further, in the sales promotion system of the present invention, a rule that the same customer seems to purchase a plurality of products in a chain is registered in advance together with data specifying a plurality of products and data specifying a plurality of customers. A center, and when a customer accesses a first shop for a first product, the first shop transmits access information of the first product to the center, and the center satisfies the rule. A second product is determined from the first product based on the first product, and the recommendation is transmitted to the user terminal of the customer via a network connection service. When access is made, access information of the second product is transmitted from the second shop to the center, and the second product is referred to as the first product. Te to determine a second product of the following were configured to repeat this (claim 4).

[0008] With the above configuration, based on the rule that the same customer is supposed to purchase a plurality of products in a chain, the recommendation of the next product is chained from the center to the user terminal of the same customer via the network connection service. Since the information is transmitted, the possibility of merchandise purchase can be improved, and a comprehensive recommendation service can be realized.

In addition, the sales promotion system of the present invention includes a plurality of shops that presuppose that a rule that the same customer is supposed to purchase a plurality of products in a chain is used together with data specifying a plurality of products and data specifying a plurality of customers. Registered in each server, and the first shop determines a second product from the first product based on the rule when the customer accesses the first shop for the first product Transmitting the recommendation to the user terminal of the customer via a network connection service, and when the customer accesses the second shop for the second product, the second shop satisfies the rule. Based on the second commodity, the next second commodity is determined as the first commodity, and this is repeated (claim 5). With the above configuration, based on the rule that the same customer purchases a plurality of products in a chain, the recommendation of the next product is sent from the server of the shop that accessed the product to the user terminal of the same customer via the network connection service. Since the information is transmitted in a chain, the possibility of merchandise purchase can be improved, and a comprehensive recommendation service can be realized.

[0010] Further, the sales promotion system according to the present invention is characterized in that a rule that the same customer is supposed to purchase a plurality of commodities in a chain is provided in advance in a shop server together with data identifying a plurality of commodities and data identifying a plurality of customers. Is registered in the shop, and when the customer accesses the shop for the first product, the shop determines the second product from the first product based on the rule and provides the recommendation to the Internet connection service. And sends the second product as the first product based on the rule when the customer accesses the shop for the second product. The next second product is determined, and this is repeated (claim 6). With the above configuration, based on the rule that the same customer purchases a plurality of products in a chain, the recommendation of the next product is sent from the server of the shop that accessed the product to the user terminal of the same customer via the network connection service. Since it is sent in a chain,
The possibility of merchandise purchase can be improved, and sales of the shop can be promoted.

In determining the second product, it is detected that the customer has accessed the recommendation transmitted in the past, and the product to be recommended is determined in consideration of the number of accesses from the customer. Constitution is a preferred embodiment of the present invention. Further, it is a preferable embodiment of the present invention to change the recommendation rule for determining a recommended product according to the number of accesses from customers.

As described above, by monitoring access to past recommendations and determining a product to be recommended next, or by changing (updating) recommendation rules therefor, there is a possibility of meeting customer needs more. , It is possible to make a recommendation for a second product having a high price, which leads to further sales promotion.

[0013]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS <First Embodiment> An embodiment of the present invention will be described below with reference to the drawings. FIG.
FIG. 2 is a diagram showing a service flow in the first embodiment of the sales promotion system according to the present invention. FIG. 2 is a schematic diagram showing a system configuration of the first embodiment of the sales promotion system according to the present invention. FIG. 4 is an explanatory diagram showing an example of a recommendation.

In the center 1 shown in FIG. 1, a recommendation rule 1a for determining a type of a recommendation to be transmitted to a customer is registered. In the recommendation rule 1a, a product or service that a customer is expected to purchase (or access) in a chain with respect to a certain product or service is associated with the recommendation rule 1a.
Sent to the customer as a trigger for the customer to purchase one product or access to product information. For example, in this case, a first recommendation rule for associating the music software of the shop A with the concert ticket of the shop B, a second recommendation rule for associating the concert ticket of the shop B with the travel reservation service of the shop C, and a shop C A third recommendation rule for associating the travel reservation service with the local restaurant information of the shop D (not shown) is registered. The recommendation rule 1a is appropriately updated according to the release of music software of a new song, the latest concert ticket information, and travel reservation information. The center 1 is managed by a service provider that provides recommendation services to member stores, and the service provider sends recommendations to customers of the member stores. For example, the member stores in this case are a shop A that distributes music software, a shop B that sells tickets such as concert tickets, a shop C that is a travel agency, and a shop D (not shown) that is a local restaurant.

When the user accesses the server of the shop A that distributes the music software by using the mobile phone 2 via the network connection service and purchases the music software, for example, the server of the shop A obtains the purchase information (commodity). Name (song name), the e-mail address of the purchaser, etc.) to the center 1. Note that the shop A transmits the access information to the center 1 not only when the customer actually purchases the music software but also when the user accesses the music software list on the homepage by searching and browsing. Is also good.

The center 1 searches for a concert by the singer or artist from the recommendation rule 1a based on the product name (song name) of the purchase (access) information, and retrieves the concert information (the shop B that sells concert tickets, The recommendation of day, price, etc.) is transmitted to the mobile phone 2 via the network connection service.

As shown in FIG. 2, the center 1 in FIG. 1 includes a recommendation rule 1a, a recommendation issuing means 20a for issuing a recommendation, a customer profile (also referred to as a profile) 20b1 and a purchase history 2 of the customer.
0b2, and a center server 20 having a recommendation processing unit 20c for processing a recommendation used (accessed) by the customer. The mobile phone 2 includes a recommendation management unit 2a that manages the received recommendations, and is implemented as a mail application in the present embodiment. Shop A, Shop B,
Shop C has merchant servers 3A and 3A, respectively.
B, 3C. The center server 20, the merchant servers 3A, 3B, 3C, and the mobile phone 2 can communicate with each other via the Internet 50.

As a form of this recommendation,
An email with a link or an email with a link and a discount electronic coupon can be used. FIG. 3 shows, as an example of a mail with a link, a screen of a mail with a link when shop B is a virtual shop. When a link (Go) is selected, the screen shifts to a concert ticket purchase screen of shop B. In this case, actually, the CGI of the recommendation processing means 20c of the center server 20 is once used.
(Common Gateway Interface) to the merchant server 3B. Specifically, this link (Go) includes the URL (Unif) of the CGI program of the recommendation processing means 20c of the center server 20.
orm Resource Locator), the recommendation identification information, the user ID, and the merchant ID of the shop A are designated as parameters. By selecting this link, the CGI program is executed and the merchant server 3B (the shop B) is executed. Redirected to display concert ticket purchase screen content.
At this time, the CGI of the recommendation processing means 20c
Since the customer has accessed the transmitted recommendation, the program increments the hit number of the recommendation managed as one element of the recommendation rule with respect to the recommendation. In this way, the recommendation processing unit 20c can detect a recommendation accessed by a customer with respect to the transmitted recommendation.

If the shop B is a real shop, the display shifts to the shop information page (name, telephone number, address, map, etc.) of the shop B. In this case as well, the information is redirected to display the store information content of the shop B via the recommendation processing means 20c of the center server 20. FIG. 4 shows an example of a link and a mail with a discount electronic coupon. In addition to the link to shop B, a link to a discount electronic coupon of a concert ticket is further displayed. When the link (Go) to the discount electronic coupon is selected, the discount electronic coupon is downloaded from the center server 20 to the mobile phone 2.

Then, for the server of shop B,
When the user purchases a concert ticket by accessing the mobile phone 2 via the Internet connection service, the server of the shop B stores the purchase information (product name (concert ticket name), e-mail address of the purchaser, etc.) in the center 1. Send to The center 1 recommends rule 1 based on the purchase information and the customer profile (address).
a. Search the travel agency's online reservation service from a.
A recommendation to shop C, which is a travel agency, is transmitted to mobile phone 2 via a network connection service.

Then, for the server of shop C,
When the user accesses the mobile phone 2 via the Internet connection service and arranges (purchases) an airplane, a hotel, or the like, the server of the shop C transmits the purchase information to the center 1. The center 1 recommends local restaurant information as the next product based on the purchase information.
a, and sends the recommendation to the mobile phone 2 via the network connection service.

<Second Embodiment> Here, the first embodiment will be described.
Since the embodiment is a center type system having the center 1 at the top, it may be difficult for a plurality of shops of the same business type to participate in the same system. FIG. 5 shows a service flow in a distributed system in which the center 1 is omitted as a second embodiment and a recommendation service is affiliated between shops A to C. FIG. 6 shows a service flow in the second embodiment. FIG. 1 shows a schematic diagram illustrating a system configuration.
Therefore, the first recommendation rule 1A that associates the music software of the shop A with the concert ticket of the shop B is registered in the shop A, and the second recommendation rule 1A that associates the concert ticket of the shop B with the travel reservation service of the shop C is registered in the shop B. And the third recommendation rule 1C for associating the travel reservation service of the shop C with the local restaurant information of the shop D (not shown) is registered in the shop C.

When the user accesses the server of the shop A which distributes the music software by using the mobile phone 2 via the network connection service and purchases the music software, for example, the server of the shop A obtains the purchase information (commodity). Recommends a concert by the singer based on the name (song name), e-mail address of the purchaser, etc.)
A is searched from A, and the recommendation of the concert information (shop B where concert tickets are sold, date, price, etc.) is transmitted to the network connection service mobile phone 2.

Then, for the server of shop B,
When the user accesses the mobile phone 2 via the Internet connection service and purchases a concert ticket, the server of the shop B uses the purchase information (product name (concert ticket name), e-mail address of the purchaser, etc.) based on the purchase information. The online search service of the travel agency is searched from the recommendation rule 1B, and the recommendation of the shop C, which is the travel agency, is transmitted to the mobile phone 2 via the network connection service.

Then, for the server of shop C,
When the user accesses the mobile phone 2 via the Internet connection service to arrange (purchase) an airplane, a hotel, or the like, the server of the shop C searches for the next product from the recommendation rule 1C based on the purchase information, The recommendation is transmitted to the mobile phone 2 via the network connection service.

As shown in FIG. 6, the mobile phone 2 has a recommendation management means 2a for managing the received recommendations. In the present embodiment, the mobile phone 2 is realized as a mail application or an electronic receipt management application. You. Shop A, Shop B, Shop C
Has merchant servers 3A, 3B, and 3C, respectively. Each merchant server 3A, 3B, 3C
Recommendation issuing means 3Aa, 3Ba, 3Ca for issuing recommendation rules and recommendations, customer databases 3Ab, 3Bb, 3Cb, and recommendation processing means 3Ac, 3Bc, 3Cc for processing recommendations used (accessed) by customers.
have. Merchant servers 3A, 3B, 3C,
The mobile phones 2 can communicate with each other via the Internet 50.

According to the second embodiment, since the shops A to C send the recommendations directly to the mobile phone 2, the type of the recommendations is the mail with the link shown in FIG. An electronic receipt with a link and an electronic receipt with a link and a discount electronic coupon can be used in addition to the mail with the link and the discount electronic coupon shown. In this case, the discount coupon is issued based on a contract between shops. FIG. 7 shows an example of an electronic receipt with a link. In addition to the receipt of the music software, a recommendation of a concert ticket is displayed. When the link (Go) is selected, the screen shifts to the shop B concert ticket purchase screen. In this case, in practice, the information is temporarily redirected to the merchant server 3B via the CGI (Common Gateway Interface) of the recommendation processing means 3Ac of the merchant server 3A.
Specifically, this link (Go) includes the CGI of the recommendation processing unit 3Ac of the merchant server 3A.
URL (Uniform Resource Locator) of the program,
The recommendation identification information, the user ID, and the merchant ID of the shop A are specified as parameters. By selecting this link, the CGI program is executed, and the concert ticket purchase screen content on the merchant server 3B (shop B) is displayed. Redirected to display. At this time, since the CGI program of the recommendation processing means 3Ac receives the transmitted recommendation from the customer, the hit number of the recommendation managed as one element of the recommendation rule is related to the recommendation. Is incremented by one. In this way,
The recommendation processing unit 3Ac can detect a recommendation accessed by a customer with respect to the transmitted recommendation.

If the shop B is a real shop, the display shifts to the shop information page (name, telephone number, address, map, etc.) of the shop B. Also in this case, similarly, the recommendation processing means 3Ac of the merchant server 3A
Is redirected to display the store information content of the shop B via. FIG. 8 shows an example of an electronic receipt with a link and a discount electronic coupon. In addition to the receipt of music software and a link to shop B, a link to a discount electronic coupon of a concert ticket is further displayed. When the link (Go) to the discount electronic coupon is selected, the discount electronic coupon is downloaded to the mobile phone 2.

Next, the recommendation issuance by the recommendation issuing means in the first or second embodiment will be described. FIG. 9 is a flowchart showing the procedure for issuing a recommendation. In the flowchart of FIG. 9, when access information to the first product (or first service) (purchase of the first product or access to product information of the first product) is acquired in step S21, In S22, a recommendation rule corresponding to the first product is selected, and then in step S23, a purchase history and a customer profile are acquired from the customer database. In step S24, based on the recommendation rules, the purchase history, and the customer profile, the recommended second product (or the second product).
Service). In step S25, a recommendation for the second product (or the second service) is generated, and then in step S26, the recommendation for the second product (or the second service) is transmitted to the mobile phone 2.

FIG. 10 is an example of a table showing the relationship between recommendation rules and products in the first or second embodiment. In this case, as the first products, products A, B,
When there are C, D, E,..., One of the recommendation rules 01, 02, 03 is assigned to these. That is, each product or service is associated with a recommendation rule. In the example of the table in FIG. 10, the same recommendation rule 01 corresponds to the products A and B, the same recommendation rule 02 corresponds to the products C and D, and the recommendation rule 03 corresponds to the product E. The details of the recommendation rule will be described in detail with reference to FIGS.

FIG. 11 is a table showing an example of one recommendation rule in the first or second embodiment. In this example, a recommendation rule corresponding to music distribution music A is shown. The table includes the recommendation identification information 22, the candidate 24 for the second product or service to be recommended, the search key 26, and the number of hits 27.
And a recommendation template 28.
Here, the number of hits 27 indicates the number of responses from the customer to the issued recommendations, and is updated in response to access from the customer. In other words, the recommendation rule includes a search key 26 for determining a recommended product or service, a number of hits 27, and a recommendation template 28 for a second candidate product or service 24 to be recommended. To determine the second product (service), the customer's purchase history,
The customer profile (age, address or place of residence, desire for a discount coupon, etc.) is compared with the search key 26, and a recommendation of a product (service) having a high search key hit rate is selected. If the hit rates are the same,
A recommendation with a large number of hits 27 is selected.
Next, a recommendation is generated from the recommendation template 28 for the selected product (service). When the hit ratio of the search key and the number of hits 27 are the same, a plurality of recommendations can be issued. In this way, when deciding which recommendations to send, not only matching the search key,
By using the hit count 27 of the recommendation updated according to the access from the customer, it is possible to make a recommendation that is more likely to meet the needs of the customer.

FIG. 12 is a table showing another example of the recommendation rule in the first or second embodiment.
In this example, a recommendation rule corresponding to a concert ticket is shown. In this case as well, the recommendation to be issued is selected based on the purchase history and customer profile of the customer, the hit ratio with the search key 26, and the number of hits 27 of the recommendation, in the same manner as the recommendation rule of FIG. .

FIG. 13 is a diagram schematically showing a data structure of a recommendation in the first or second embodiment. As shown in FIG. 13, the recommendation data includes the recommendation content description information 32, the recommendation identification information 22A, and the user identification information 34.
And the identification information 36 of the shop that triggered the event. The recommendation data is described in ML (markup language) that can be interpreted by the recommendation management means 2a of the mobile phone 2. Recommendation content description information 32, recommendation identification information 22
A, the user identification information 34, and the shop identification information 36 that triggered the event are not necessarily described in a format in which individual information is separated by tags, and may be described in a format in which each information is mixed. Good. For example, in this case, the recommendation identification information 22A, the user identification information 34, and the identification information 36
Is set as a parameter in the link description in the recommendation content description information 32.

The recommendation template is a template of such an ML (markup language) description. For example, in the example of FIG. 11, when the recommendation whose recommendation identification information is AAAA0002 is selected, the recommendation is made. The date data is generated based on a recommendation template of a related book described in ML. The recommendation template contains the recommendation content description information 3
2 is set in advance. For example, in this case, “「
I recommend a newly written new book の. Apply to □□□. "Is set as the recommendation content description information 32. further,
In the “□□□” part, a link to a purchase screen of the book is set. In the generation of the recommendation (the process of step S25 in FIG. 9), the recommendation identification information 22A and the user identification information 34 and the shop identification information 36 that triggered the shop are set as parameters in this link. In this case, AAAAA0002 is set as the recommendation identification information 22A, the user ID is set as the user identification information 34, and the merchant ID of the site to which the music A is distributed is set as the identification information of the shop that triggered the user. Is done.

Here, advantages and disadvantages of the center type according to the first embodiment and the distributed type according to the second embodiment will be compared. In the center type, since customer information (purchase history, customer profile) is centrally managed in the customer database 20b, highly accurate recommendations are possible, and the member store (shop) itself needs to have a large-scale sales promotion system. In addition, there is the merit that return (commission revenue) can be expected by introducing other stores. Conversely, there is a disadvantage that it is difficult to participate in competitive shops of the same industry. The decentralized type has a merit that it is easy to participate because it is a system that is established only by contracts between individual shops, and it is possible to construct a large-scale recommendation in which multiple shops of the same industry participate virtually. On the contrary, there is a disadvantage that each shop needs to have a sales promotion system.

According to the systems of the first and second embodiments, the access from the customer, such as the first purchase of a product, allows the chained recommendation to be made to the Internet connection service, even between different industries. It can be transmitted to the mobile phone 2. The user terminal is not limited to the mobile phone 2, but may be a personal computer. Further, the shops A to C are not limited to virtual stores (servers), and may be vending machines in addition to real stores that do not go through a network connection service. In addition, virtual stores, real stores, and vending machines are mixed. Is also good. In the case of a real store or a vending machine, the mobile phone 2 and the P
Infrared or Bluetooth (Bl) between OS terminals and vending machines
uetooth) can be realized by local wireless wireless communication.

FIG. 14 shows the sales promotion system according to the present invention in comparison with the conventional DM method shown in FIG. D
In the M method, first, "Product 10 you want to sell (from now on)"
Then, an extraction rule for selecting a purchaser of the product 10 is determined (step S1), and a customer candidate is searched and extracted from the customer database 11 based on the extraction rule (step S2). On the other hand, in the present invention, there is “commodity 14 sold” at the beginning, and the recommendation of the commodities that are highly likely to be purchased by the customer subsequently to the commodities 14 is described in the recommendation rules 1a, 1
A, 1B, and 1C are determined based on the customer profile 20b1 and the purchase history 20b2 (step S24).

Then, a recommendation is generated (step S25), and the generated recommendation is transmitted to the customer (step S26). In addition, once a product is sold based on the recommendations you send,
The product becomes the "sold product 14", and the next recommendation is issued in the same manner. According to the present invention,
Recommendations accessed by customers, that is, recommendations that worked, can be detected, and based on this, the number of hits in the recommendations can be updated to better meet customer needs. The recommendation rule can be updated so that a highly recommended recommendation is issued.

Further, in the center type of the first embodiment, the sales information transmitted from the shop to the center 1 includes “user identification information”, “identification information of the recommendation that triggered the sale”, If the “identification information of the store that triggered the recommendation” and a discounted electronic coupon were used,
By including the “identification information of the electronic discount coupon”, it is possible to centrally manage the sales and purchases that have been triggered by the recommendations in the center 1. in this case,
It is also possible to manage the number of recommendations transmitted by the center 1 for each shop (further, the amount of money that has been sold) and to return to the shop according to the number and amount of issued recommendations.

<Third Embodiment> In the above-described second embodiment, the shop where the user purchased his / her product issues recommendations of products of other shops. The recommendation of the product may be issued. For example, a travel agent, Shop C, may guess the next travel based on the past travel history and issue recommendations for the ticket to customers who frequently use airplanes.

[0041]

As described above, according to the present invention, a customer who purchases (or accesses) a certain product or service can purchase (or access) in a chain.
Based on the recommendation rules that determine the goods or services that are expected to be made, the recommendation of the next goods or services is chained to the customer's user terminal via the Internet connection service (the purchase of the previous goods or services). (At a timing that is likely to be linked to the next purchase immediately after), the possibility of being linked to the purchase of goods can be improved. In addition, when deciding which recommendations to send, not only matching the search key, but also using the number of hits of the recommendations updated according to the access from the customer, the possibility of meeting the needs of the customer more High recommendations can be made.

It is possible to detect a recommendation accessed by a customer, that is, an effective recommendation, and to update the number of hits of the recommendation based on the recommendation, thereby further improving the customer's needs. The recommendation rule can be updated so that a recommendation that is highly likely to be issued is issued.
In addition, it is possible to realize a comprehensive recommendation service for different types of products and services, and virtual shops and real shops having different business forms.

Further, according to the center type system of the present invention, since the customer information (purchase history, customer profile) is centrally managed, highly accurate recommendations can be made, and the member stores (shops) themselves are large-scale. There is no need to have a simple sales promotion system, and by introducing other stores, there is an effect that returns (commission revenue) can be expected. Also, according to the distributed system of the present invention, since it is a system in which only contracts between individual shops are established, it is easy to participate, and a large-scale recommendation in which a plurality of shops of the same industry participate virtually is constructed. The effect is that it is possible.

[Brief description of the drawings]

FIG. 1 is a diagram showing a service flow of a first embodiment of a sales promotion system according to the present invention;

FIG. 2 is a schematic diagram showing a system configuration of a first embodiment of a sales promotion system according to the present invention.

FIG. 3 is an explanatory diagram showing a mail with a link as a recommendation in the first embodiment.

FIG. 4 is an explanatory diagram showing a link and a mail with a discount electronic coupon as a recommendation in the first embodiment.

FIG. 5 is a diagram showing a service flow of a sales promotion system according to a second embodiment of the present invention;

FIG. 6 is a schematic diagram showing a system configuration of a sales system according to a second embodiment of the present invention;

FIG. 7 is an explanatory diagram showing an electronic receipt with a link as a recommendation.

FIG. 8 is an explanatory diagram showing an electronic receipt with a link and a discount electronic coupon as a recommendation.

FIG. 9 is a flowchart showing a recommendation issuing procedure in the first and second embodiments of the sales system according to the present invention.

FIG. 10 is a table showing the relationship between recommendation rules and products in the first and second embodiments of the sales promotion system according to the present invention;

FIG. 11 is a table showing an example of a recommendation rule in the first and second embodiments of the sales promotion system according to the present invention;

FIG. 12 is a table showing another example of recommendation rules in the first and second embodiments of the sales promotion system according to the present invention;

FIG. 13 is a diagram schematically showing a data structure of a recommendation rule in the first and second embodiments of the sales promotion system according to the present invention.

FIG. 14 shows a sales promotion system according to the present invention as a conventional D
Explanatory diagram shown in comparison with the M method

FIG. 15 is an explanatory view showing a DM method as a conventional example.

[Explanation of symbols]

 1 center 1a, 1A-1C recommendation rule 2 mobile phone A-C shop

──────────────────────────────────────────────────続 き Continued on the front page (51) Int.Cl. ⁷ Identification symbol FI Theme coat ゛ (Reference) G06F 17/60 ZEC G06F 17/60 ZEC

Claims (14)

[Claims] 1. A method according to claim 1, further comprising: data for specifying a plurality of products; data for specifying a plurality of customers; and attributes previously created for each of the plurality of customers. When the same customer accesses a certain product in the database, the database includes the customer's attribute for automatically selecting the product that is likely to be accessed next by the same customer from the data specifying the plurality of products. A customer among the plurality of customers is provided with a first among the plurality of products.
Determining, using the database, a second product that is likely to be accessed next by the customer using the database; and recommending the second product to a network connection service. Transmitting to the user terminal of the customer via the, when the customer has accessed the second product, determine the next second product as the second product as the first product, Repeating this step. 2. The step of determining the second product,
2. The sales promotion method according to claim 1, wherein the sales promotion method according to claim 1, wherein it is detected that the customer has accessed the recommendation transmitted in the past, and the recommended product is determined in consideration of the number of accesses from the customer. 3. The sales promotion method according to claim 2, further comprising a step of changing a recommendation rule for determining the recommended product according to the number of accesses from the customer. 4. A rule in which the same customer is supposed to purchase a plurality of products in a chain.
A center pre-registered with data specifying a plurality of customers, and when the customer accesses the first shop for the first product, the access information of the first product from the first shop is transmitted. Transmitting to the center, the center determines the next second product from the first product based on the rule, and transmits the recommendation to a user terminal of the customer via a network connection service; When a customer accesses a second shop with respect to the second product, the second shop transmits access information of the second product to the center, and transmits the second product to the first shop. A sales promotion system that determines the next second product as the product and repeats this. 5. A rule which seems to purchase a plurality of products in a chain by the same customer, wherein data specifying a plurality of products is provided,
Registered in advance in each server of the plurality of shops together with data specifying a plurality of customers, and when the customer accesses the first shop for the first product, the first shop performs the above-described processing based on the rule. Determining a second product from the first product and transmitting the recommendation to a user terminal of the customer via a network connection service, wherein the customer accesses a second shop for the second product; A sales promotion system in which the second shop determines the next second product as the first product based on the rule when the second shop has performed the next second product, and repeats this. 6. A rule in which the same customer is supposed to purchase a plurality of products in a chain is a data specifying a plurality of products,
The shop is registered in advance in a shop server together with data specifying a plurality of customers, and when the customer accesses the shop for the first product, the shop receives the second product from the first product based on the rule. Determine a product and send the recommendation to the user terminal of the customer via a network connection service, and when the customer accesses the shop with respect to the second product, the shop is based on the rule. A sales promotion system in which the second product is determined as the first product, the next second product is determined, and the second product is repeated. 7. The operation in which the recommendation is an e-mail with a link or an e-mail with a link and a discount electronic coupon for a second product, wherein the customer selects a link in the recommendation received using a user terminal. 7. The sales according to any one of claims 4 to 6, wherein when the user performs the operation, a purchase screen for a second product or guidance information for purchasing the second product is displayed on the user terminal. Promotion system. 8. The recommendation further comprises an electronic receipt with a link or an electronic receipt with a link and a discount electronic coupon for the second product, wherein the recommendation received by the customer using a user terminal is included in the recommendation. 7. The sales according to claim 5, wherein when an operation of selecting a link is performed, a purchase screen for a second product or guidance information for purchasing the second product is displayed on the user terminal. 8. Promotion system. 9. The sales promotion system according to claim 4, wherein the user terminal is a mobile phone. 10. The shop according to claim 4, wherein the shop is a virtual shop or a real shop on the Internet.
10. The sales promotion system according to any one of claims 1 to 9. 11. The rule according to claim 4, wherein the rule includes both or one of customer profile information and the product information when the customer purchases or searches for a product.
Sales promotion system according to any one of the above. 12. In determining the second product, it is detected that a customer has accessed a recommendation transmitted in the past, and a product to be recommended is determined in consideration of the number of accesses from the customer. The sales promotion system according to any one of claims 4 to 11, wherein the sales promotion system is configured to: 13. The sales promotion system according to claim 12, wherein a recommendation rule for determining the recommended product is changed according to the number of accesses from the customer. 14. The link in the recommendation is a link to recommendation processing means for detecting access from a customer based on the transmitted recommendation, and the recommendation received by the customer using a user terminal. When the operation of selecting a link in is performed, the recommendation processing unit detects the recommendation accessed by the customer, updates the recommendation rule, and further, purchases the second product purchase screen or the second 13. The sales promotion system according to claim 12, wherein the user terminal is redirected so that guidance information for purchasing the second product is displayed.